root mean sq ∫dY detrended-bfl ∫dT T [ UMD Carton goa beta7 t ] : T temperature data

t partial_T int_dT adif int_dY int_dY T temperature from UMD Carton goa beta7: beta7 run with 16 level data assimilation (altimetry 14 level), 50-2000.

Independent Variables (Grids)

Longitude (longitude)
grid: /X (degree_east) periodic (0.5E) to (0.5W) by 1.0 N= 360 pts :grid
Depth
grid: /Z (m) ordered [ (3254.05) (2543.45) (1900.045) (1349.125) (906.96) (579.125) (360.03) (233.44) (174.055) (150.0) (135.0) (120.0) (105.0) (90.0) (75.0) (60.0) (45.0) (30.0) (15.0)] :grid

Other Info

CE
null
CS
null
datatype
realarraytype
file_missing_value
-9.98999971E33
gridid
188094384
missing_value
NaN
pointwidth
1.0
standard_name
time
units
0.0174532925199433 degree_Kelvin radian north
history
root mean sq $integral dY$ detrended-bfl $integral dT$ $partialdiff sub T$ [ UMD Carton goa beta7 t ]
beta7 run with 16 level data assimilation (altimetry 14 level), 50-2000
Averaged over Y[60.5S, 60.5N] T[Jan 1950, Dec 2001] minimum 0.0% data present

References

Carton, J.A., G. Chepurin, X. Cao, and B.S. Giese, 2000a: A Simple Ocean Data Assimilation analysis of the global upper ocean 1950-1995, Part 1: methodology, J. Phys. Oceanogr., 30, 294-309.

Carton, J.A., G. Chepurin, and X. Cao, 2000b: A Simple Ocean Data Assimilation analysis of the global upper ocean 1950-1995 Part 2: results, J. Phys. Oceanogr., 30, 311-326

Last updated: Thu, 23 Jan 2003 21:17:59 GMT

Data Views

XZ
[ X | Z]MM


Filters

Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information. Average over X Z | X Z |
RMS (root mean square with mean *not* removed) over X Z | X Z |
RMSA (root mean square with mean removed) over X Z | X Z |
Maximum over X Z | X Z |
Minimum over X Z | X Z |
Detrend (best-fit-line) over X Z | X Z |
Convert units from 0.0174532925199433 degree_Kelvin radian north to

Note on units